Year: 2022
Type: editorial
Abstract: Obstetric anesthesia: pearls and pitfalls in anesthesia for cesarean deliveryObstetric anesthesia is a worldwide concern mostly because we deal with fetal-maternal safety and well-being.Pain can often be underestimated and undertreated, and patients may evolve with hyperalgesia, displaying persistent postoperative pain and postpartum depression.Furthermore, cesarean section may be associated with moderate to severe postoperative pain leading to delayed recovery, postponing return to daily living activities, thus affecting maternalchild bonding and breastfeeding. 1 Currently, perioperative analgesia for cesarean section involves a multimodal approach including neuraxial analgesia with intrathecal or epidural morphine, associated with non-opioid analgesics (acetaminophen and non-steroidal anti-inflammatory drugs) as well as a tactic administration of opioids for severe breakthrough pain. 2 Although spinal opioids continue to be the gold standard for postoperative analgesia in obstetric patients, ultrasound-guided interfascial plane blocks, peripheral nerve blocks, and wound infiltration have recently gained momentum as effective and safe techniques.In fact, in the context of ERAS (enhanced recovery after surgery), their use has been linked to reduction in opioid requirements as well as a decreased incidence of side effects and improved quality of recovery with fewer hospital resources utilization.2 In this issue of the Brazilian Journal of Anesthesiology, some contemporary regional anesthesia techniques are addressed in the obstetric scenario, namely the lumbar paravertebral block, transverse abdominal plane block, quadratus lumborum block, and erector spine plane block.In fact, what are the main evidences for each of those techniques in obstetric anesthesia?
Authors: Vanessa H. Carvalho, Liana M.T.A. Azi, Lorena I.M. de Carvalho, André P. Schmidt
Language: English
Subfield: Anesthesiology and Pain Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4281697282